Instructions to use CompVis/stable-diffusion-safety-checker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CompVis/stable-diffusion-safety-checker with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, SafetyChecker processor = AutoProcessor.from_pretrained("CompVis/stable-diffusion-safety-checker") model = SafetyChecker.from_pretrained("CompVis/stable-diffusion-safety-checker", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download preprocessor_config.json from CompVis/stable-diffusion-safety-checker: direct link, hf CLI and curl.
- Browser
- Download file 342 Bytes
-
https://huggingface.co/CompVis/stable-diffusion-safety-checker/resolve/refs%2Fpr%2F15/preprocessor_config.json
- Command line
-
hf download hf://CompVis/stable-diffusion-safety-checker@refs/pr/15/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/CompVis/stable-diffusion-safety-checker/resolve/refs%2Fpr%2F15/preprocessor_config.json
342 Bytes
| { | |
| "crop_size": 224, | |
| "do_center_crop": true, | |
| "do_convert_rgb": true, | |
| "do_normalize": true, | |
| "do_resize": true, | |
| "feature_extractor_type": "CLIPFeatureExtractor", | |
| "image_mean": [ | |
| 0.48145466, | |
| 0.4578275, | |
| 0.40821073 | |
| ], | |
| "image_std": [ | |
| 0.26862954, | |
| 0.26130258, | |
| 0.27577711 | |
| ], | |
| "resample": 3, | |
| "size": 224 | |
| } | |